4.7 Article

Dissecting the Functional Mechanisms of Somatic Copy-Number Alterations Based on Dysregulated ceRNA Networks across Cancers

期刊

MOLECULAR THERAPY-NUCLEIC ACIDS
卷 21, 期 -, 页码 464-479

出版社

CELL PRESS
DOI: 10.1016/j.omtn.2020.06.012

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资金

  1. National Key R&D Program of China [2018YFC2000100]
  2. National Natural Science Foundation of China [31601076, 61873075, 31900478]
  3. China Postdoctoral Science Foundation [2016M601444]
  4. Wu lien-teh Youth Science Fund Project of Harbin Medical University [WLD-QN1407]
  5. Special Funds for the Construction of Higher Education in Heilongjiang Province [UNPYSCT-2018068]
  6. Hei Long Jiang Postdoctoral Foundation [LBH-Z16119]

向作者/读者索取更多资源

Somatic copy-number alterations (SCNAs) drive tumor growth and evolution. However, the functional roles of SCNAs across the genome are still poorly understood. We provide an integrative strategy to characterize the functional roles of driver SCNAs in cancers based on dysregulated competing endogenous RNA (ceRNA) networks. We identified 44 driver SCNAs in lower-grade glioma (LGG). The dysregulated patterns losing all correlation relationships dominated dysregulated ceRNA networks. Homozygous deletion of six genes in 9p21.3 characterized an LGG subtype with poor prognosis and contributed to the dysfunction of cancer-associated pathways in a complementary way. The pan-cancer analysis showed that different cancer types harbored different driver SCNAs through dysregulating the crosstalk with common ceRNAs. The same SCNAs destroyed their ceRNA networks through different miRNAmediated ceRNA regulations in different cancers. Additionally, some SCNAs performed different functional mechanisms in different cancers, which added another layer of complexity to cancer heterogeneity. Compared with previous methods, our strategy could directly dissect functional roles of SCNAs from the view of ceRNA networks, which not only complemented the functions of protein-coding genes but also provided a new avenue to characterize the functions of noncoding RNAs. Also, our strategy could be applied to more types of cancers to identify pathogenic mechanism driven by the SCNAs.

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